Credit Risk Modeling
Published:
A sophisticated credit risk modeling framework that combines traditional statistical methods with modern machine learning approaches. This project provides comprehensive tools for assessing creditworthiness and predicting loan defaults.
Key Features
- Multiple risk scoring models
- Feature importance analysis
- Probability of default estimation
- Model interpretability tools
Technologies
- Scikit-learn
- Risk modeling libraries
- Statistical analysis tools
- Model validation frameworks